About the job
Your Role
- Develop, test, and deploy models that enhance Peec AI's recommendations, enabling customers to improve their visibility in AI-driven searches.
- Create algorithms to derive actionable insights from AI search behaviors, delivering data-informed suggestions that elevate brand visibility in AI search.
- Manage the complete model lifecycle from research to production, collaborating closely with engineering to seamlessly integrate machine learning solutions into our systems.
- Design and implement robust data pipelines to ingest, process, and analyze extensive datasets.
Qualifications
- Demonstrated backend development expertise in Python, with experience in building APIs, data pipelines, or machine learning infrastructure, and familiarity with tools such as FastAPI, Docker, and cloud platforms (preferably GCP).
- A profound interest in understanding how LLMs function, with the capability to reverse-engineer AI search behavior and translate findings into actionable product features.
- A proven ability to transition projects from research to production in a fast-paced startup environment, showcasing strong problem-solving skills and adaptability in addressing ambiguous and evolving challenges.
- Exceptional communication skills, capable of articulating complex technical concepts to both customers and stakeholders.
Our Data Science Stack
- Languages: Python, SQL
- Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX
- Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery
- AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.
Bonus Points
- Contributions to open-source projects.
- Deployment of side/hobby projects.
